Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes :: SCD d'Orléans

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault dia...

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Bibliografske podrobnosti
Glavni avtor:	Patan, Krzysztof
Format:	Livre numérique
Jezik:	Anglais
Izdano:	Berlin, Heidelberg : Springer Berlin Heidelberg [20..]. Cham : Springer Nature
Serija:	Lecture Notes in Control and Information Sciences 377
Teme:	Ingénierie des systèmes Intelligence artificielle Réseaux neuronaux (informatique) Théorie de la commande Ingénierie
Online dostop:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Sporočilo:	Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Artificial neural networks for the modelling and fault diagnosis of technical processes, Krzysztof Patan, Berlin, Springer, 2008, 1 vol. (XXII-245 p.), Lecture notes in control and information sciences, 978-3-540-79871-2

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